我正在使用
Python与PIL和SciPy.
我想从网络摄像头捕获图像,然后使用numpy和Scipy进一步处理它.有人可以帮我解决问题.
我想从网络摄像头捕获图像,然后使用numpy和Scipy进一步处理它.有人可以帮我解决问题.
这里的代码有一个预定义的图像“lena”,但我希望使用我自己捕获的图像而不是“lena”图像.我对代码做了哪些更改？
from scipy import misc lena = misc.lena() lx,ly = lena.shape import matplotlib.pyplot as plt crop_lena = lena[lx / 4: - lx / 4,ly / 4: - ly / 4] plt.imshow(crop_lena)
另一个例子
import scipy from scipy import ndimage import matplotlib.pyplot as plt import numpy as np l = scipy.misc.lena() plt.figure(figsize=(10,3.6)) plt.subplot(131) plt.imshow(l,cmap=plt.cm.gray) plt.show()
解决方法
Video Capture by Markus Gritsch
我已经使用了很多Video Capture by Markus Gritsch,这可能是你想做的最简单,最快捷的方式.
from VideoCapture import Device
from numpy import *
from PIL import Image
cam = Device(devnum=0,showVideoWindow=0) #devnum=0 means you are using the device set in 0 position probably your webcam
blackimg= cam.getimage() #this return a PIL image but I don't kNow why the first is always black
#blackimag.show()#try to check if you want
image=cam.getimage() #this is a real image PIL image
imgarray = asarray(image) #convert the image into a matrix
#imgarrayfloat = imgarray.astype('float') # in many cases of processing you have to convert to a float matrix because can occur overflow (e.g. for average images summing pixels values of 255 and 3 of two images and divide by 2 gives you 1/2 for imgarray and 258/2 for imgarrayfloat
#recovertedimage=processedimage.astype ("uint8")#if you use the prevIoUs you have to reconvert to unit8. Note processedimage is the name of the variable of your image.
Python OpenCV: cv2 & cv
您也可以使用OpenCV的Python绑定来完成它.至少有两种方法可以做到这一点.我发现this和this教程很有趣.
Video Capture
from cv2 import * cam = VideoCapture(0) #set the port of the camera as before retval,image = cam.read() #return a True bolean and and the image if all go right cam.release() #Closes video file or capturing device.
在这种情况下,你有一个numpy.ndarray(没有更多的PIL图像),所以要在shell中显示图像类型：
import matplotlib.pyplot as plt plt.imshow(image)
使用CaptureFromCAM的旧方法
import cv2.cv as cv import numpy as np Capture = cv.CaptureFromCAM(0) image = cv.QueryFrame(Capture) #here you have an IplImage imgarray = np.asarray(image[:,:]) #this is the way I use to convert it to numpy array
你可以像上面那样显示它.